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      Evidence-based guideline implementation of quality assurance and quality control procedures in the Saudi National Mental Health Survey

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          Abstract

          Background

          The World Mental Health surveys have been known to apply high standards of quality control, but few studies have been published to document this. Furthermore, the effectiveness of quality control has rarely been reported in the Middle East.

          Case presentation

          The focus of this paper was to highlight the implementation of quality control procedures in the Saudi National Mental Health Survey under the World Mental Health Survey Consortium. The paper summarizes the guidelines implemented for the various phases of survey quality control—the quality assurance procedures, the quality control procedures and the quality control appraisal components—as per previously prescribed recommendations in literature.

          Conclusions

          Survey quality management is a process and not reducible to a single event. Midstream corrections are warranted by detecting problems and intervening appropriately. The Saudi National Mental Health Survey implemented such procedures through continuous quality improvement.

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          Most cited references22

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          The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI)

          This paper presents an overview of the World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) and a discussion of the methodological research on which the development of the instrument was based. The WMH‐CIDI includes a screening module and 40 sections that focus on diagnoses (22 sections), functioning (four sections), treatment (two sections), risk factors (four sections), socio‐demographic correlates (seven sections), and methodological factors (two sections). Innovations compared to earlier versions of the CIDI include expansion of the diagnostic sections, a focus on 12‐month as well as lifetime disorders in the same interview, detailed assessment of clinical severity, and inclusion of information on treatment, risk factors, and consequences. A computer‐assisted version of the interview is available along with a direct data entry software system that can be used to keypunch responses to the paper‐and‐pencil version of the interview. Computer programs that generate diagnoses are also available based on both ICD‐10 and DSM‐IV criteria. Elaborate CD‐ROM‐based training materials are available to teach interviewers how to administer the interview as well as to teach supervisors how to monitor the quality of data collection. Copyright © 2004 Whurr Publishers Ltd.
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            The Composite International Diagnostic Interview. An epidemiologic Instrument suitable for use in conjunction with different diagnostic systems and in different cultures.

            The Composite International Diagnostic Interview (CIDI), written at the request of the World Health Organization/US Alcohol, Drug Abuse, and Mental Health Administration Task Force on Psychiatric Assessment Instruments, combines questions from the Diagnostic Interview Schedule with questions designed to elicit Present State Examination items. It is fully structured to allow administration by lay interviewers and scoring of diagnoses by computer. A special Substance Abuse Module covers tobacco, alcohol, and other drug abuse in considerable detail, allowing the assessment of the quality and severity of dependence and its course. This article describes the design and development of the CIDI and the current field testing of a slightly reduced "core" version. The field test is being conducted in 19 centers around the world to assess the interviews' reliability and its acceptability to clinicians and the general populace in different cultures and to provide data on which to base revisions that may be found necessary. In addition, questions to assess International Classification of Diseases, ninth revision, and the revised DSM-III diagnoses are being written. If all goes well, the CIDI will allow investigators reliably to assess mental disorders according to the most widely accepted nomenclatures in many different populations and cultures.
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              The US National Comorbidity Survey Replication (NCS-R): design and field procedures

              The National Comorbidity Survey Replication (NCS‐R) is a survey of the prevalence and correlates of mental disorders in the US that was carried out between February 2001 and April 2003. Interviews were administered face‐to‐face in the homes of respondents, who were selected from a nationally representative multi‐stage clustered area probability sample of households. A total of 9,282 interviews were completed in the main survey and an additional 554 short non‐response interviews were completed with initial non‐respondents. This paper describes the main features of the NCS‐R design and field procedures, including information on fieldwork organization and procedures, sample design, weighting and considerations in the use of design‐based versus model‐based estimation. Empirical information is presented on non‐response bias, design effect, and the trade‐off between bias and efficiency in minimizing total mean‐squared error of estimates by trimming weights. Copyright © 2004 Whurr Publishers Ltd.
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                Author and article information

                Contributors
                shyder41@kfshrc.edu.sa
                lbilal@kfshrc.edu.sa
                akkad.luma@gmail.com
                yuchiehl@gmail.com
                alhabeeb-a@moh.gov.sa
                prof.subaie@gmail.com
                monakshahab@gmail.com
                muammar@kfshrc.edu.sa
                feda.tuwaijri@aramco.com
                nskattan@gsa.gov.sa
                yasmint@kfshrc.edu.sa
                Journal
                Int J Ment Health Syst
                Int J Ment Health Syst
                International Journal of Mental Health Systems
                BioMed Central (London )
                1752-4458
                25 September 2017
                25 September 2017
                2017
                : 11
                : 60
                Affiliations
                [1 ]ISNI 0000 0001 2191 4301, GRID grid.415310.2, Biostatistics, Epidemiology and Scientific Computing Department, , King Faisal Specialist Hospital and Research Centre, ; MBC 03, PO Box 3354, Riyadh, 11211 Saudi Arabia
                [2 ]ISNI 0000 0001 0747 1743, GRID grid.480579.7, King Faisal Foundation, ; Riyadh, Saudi Arabia
                [3 ]ISNI 0000000086837370, GRID grid.214458.e, Survey Research Center, Institute for Social Research, , University of Michigan, ; MI Ann Arbor, USA
                [4 ]GRID grid.415696.9, Mental Health and Social Services, , Ministry of Health, ; Riyadh, Saudi Arabia
                [5 ]Edrak Medical Center, Riyadh, Saudi Arabia
                [6 ]ISNI 0000 0001 2312 1970, GRID grid.5132.5, Leiden University Medical Center, , Leiden University, ; Leiden, The Netherlands
                [7 ]ISNI 0000 0000 9113 8494, GRID grid.454873.9, Corporate Planning, , Saudi Aramco, ; Dhahran, Saudi Arabia
                [8 ]Vision Realization Office, General Sports Authority, Riyadh, Saudi Arabia
                Article
                164
                10.1186/s13033-017-0164-0
                5613477
                29021823
                70663ac9-5fa1-4bba-9da7-6ed47cb78b14
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 June 2017
                : 16 September 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002383, King Saud University;
                Funded by: FundRef http://dx.doi.org/10.13039/501100007164, Saudi Basic Industries Corporation;
                Funded by: FundRef http://dx.doi.org/10.13039/501100004919, King Abdulaziz City for Science and Technology;
                Funded by: Abraaj Capital
                Funded by: Ministry of Health, Saudi Arabia
                Categories
                Case Study
                Custom metadata
                © The Author(s) 2017

                Neurology
                quality control,mental health,survey,epidemiology,survey methodology
                Neurology
                quality control, mental health, survey, epidemiology, survey methodology

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